Data Analyst Apprentice
MASON STREET FURNITURE LTD
WELLINGBOROUGH (NN29 7XA)
Closes in 23 days (Friday 1 May 2026)
Posted on 8 April 2026
Contents
Summary
This is a brand new role in a rapidly growing business, so you will be working with the Finance Director and Commercial manager to build a reporting structure from the ground up.
- Wage
-
£25,000 a year
- Training course
- Data analyst (level 4)
- Hours
-
Monday - Friday: 9.00am - 5.00pm.
37 hours 30 minutes a week
- Start date
-
Monday 1 June 2026
- Duration
-
1 year 6 months
- Positions available
-
1
Work
Most of your apprenticeship is spent working. You’ll learn on the job by getting hands-on experience.
What you'll do at work
Please note that this is an apprenticeship position and therefore anyone with more than six months of professional experience working as a data analyst or who holds a degree or Master’s degree in a subject such as Data Science, Business Analytics, Maths will not be eligible.
You will also need to commit to completing a Level 4 Data Analyst Apprenticeship.
The Role
As a data analyst, you would collect numerical information and present results. Usually this would be in the form of reports, graphs and charts. The data can involve Customers, Tendering, Revenue & Costs or Logistics and be used to boost productivity/revenue, improve decision making and reduce costs.
You will also get the opportunity to enter into a Data apprenticeship with formal study and training. You will gain/improve skills in SQL, Data visualisation, Advanced BI and Machine learning.
Key Responsibilities
- Work with business management to design & build reporting dashboards.
- Interpret data, analyse results and provide ongoing reports with actionable output.
- Help to automate manual processes within the Commercial, Finance and Operational Teams involving data.
- Identify, analyse and interpret trends or patterns in complex datasets.
- Locate and define new process improvement opportunities.
Candidate Profile
- A proven interest in a career in data analysis (this could be from formal studies, self-study or the workplace)
- A proven passion for data/numbers (this could be from formal studies, self-study or the workplace)
- Proficient in Microsoft Office, including Word, Excel, and Outlook.
- Open-minded and supportive team player with strong communication skills.
- Proficient at prioritising tasks and consistently meeting deadlines.
- Ability to identify process improvements and help implement solutions.
- Ability to work as part of a team and independently.
- An eye for detail and commercially aware.
- Experience of using data tools such as SQL, Python, Power BI (or equivalent), preferable but not essential.
Where you'll work
UNIT 2 GORE ONG FARM
AIRFIELD ROAD
PODINGTON
WELLINGBOROUGH
NN29 7XA
Training
Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.
Training provider
DIGITAL NATIVE (UK) LIMITED
Training course
Data analyst (level 4)
Understanding apprenticeship levels (opens in new tab)
What you'll learn
Course contents
- Use data systems securely to meet requirements and in line with organisational procedures and legislation including principles of Privacy by Design
- implement the stages of the data analysis lifecycle
- apply principles of data classification within data analysis activity
- analyse data sets taking account of different data structures and database designs
- assess the impact on user experience and domain context on data analysis activity
- identify and escalate quality risks in data analysis with suggested mitigation or resolutions as appropriate
- undertake customer requirements analysis and implement findings in data analytics planning and outputs
- identify data sources and the risks and challenges to combination within data analysis activity
- apply organizational architecture requirements to data analysis activities
- apply statistical methodologies to data analysis tasks
- apply predictive analytics in the collation and use of data
- collaborate and communicate with a range of internal and external stakeholders using appropriate styles and behaviours to suit the audience
- use a range of analytical techniques such as data mining, time series forecasting and modelling techniques to identify and predict trends and patterns in data
- collate and interpret qualitative and quantitative data and convert into infographics, reports, tables, dashboards and graphs
- select and apply the most appropriate data tools to achieve the optimum outcome
- Use data systems securely to meet requirements and in line with organisational procedures and legislation including principles of Privacy by Design
- implement the stages of the data analysis lifecycle
- apply principles of data classification within data analysis activity
- analyse data sets taking account of different data structures and database designs
- assess the impact on user experience and domain context on data analysis activity
- identify and escalate quality risks in data analysis with suggested mitigation or resolutions as appropriate
- undertake customer requirements analysis and implement findings in data analytics planning and outputs
- identify data sources and the risks and challenges to combination within data analysis activity
- apply organizational architecture requirements to data analysis activities
- apply statistical methodologies to data analysis tasks
- apply predictive analytics in the collation and use of data
- collaborate and communicate with a range of internal and external stakeholders using appropriate styles and behaviours to suit the audience
- use a range of analytical techniques such as data mining, time series forecasting and modelling techniques to identify and predict trends and patterns in data
- collate and interpret qualitative and quantitative data and convert into infographics, reports, tables, dashboards and graphs
- select and apply the most appropriate data tools to achieve the optimum outcome
Training schedule
Requirements
Essential qualifications
GCSE in:
A Level in:
Share if you have other relevant qualifications and industry experience. The apprenticeship can be adjusted to reflect what you already know.
Skills
- Communication skills
- IT skills
- Attention to detail
- Organisation skills
- Problem solving skills
- Number skills
- Analytical skills
- Logical
- Team working
- Initiative
- Non judgemental
- Patience
Other requirements
Location: Podington (NN29 7XA) Please note, this is an office-based role and the location is rural with no public transport options. Therefore, the successful candidate will be required to have access to a personal vehicle, and it is anticipated that the successful candidate will have a commute of no more than 1 hour and 15 minutes.
About this employer
MSF is a nationwide highways contractor specialising in street lighting, traffic signs, technology, traffic signals, fibre networks, EV infrastructure & independent connections.
We are entering a period of significant growth and are seeking likeminded people who aspire to grow with us and be part of our exciting journey. In return, we offer a collaborative working environment where we actively encourage and support continuous improvement and career development.
After this apprenticeship
Ongoing employment and career development.
Ask a question
The contact for this apprenticeship is:
DIGITAL NATIVE (UK) LIMITED
The reference code for this apprenticeship is VAC2000024930.
Apply now
Closes in 23 days (Friday 1 May 2026)
After signing in, you’ll apply for this apprenticeship on the company's website.